#MAP

##DensityMap

DensityMap
#tmap_save(DensityMap, "DensityMap.html")

Description

This map highlights the great disparity that exists on the Norwegian territory in terms of density. Indeed, one notices immediately that the vast majority of the country is very sparsely populated. Most regions have a density of less than 20 inhabitants per km². By way of comparison, the average density in France is about 117 inhabitants per km² compared to 13 in Norway.

#GRAPHS

##Graph1

Air pollution

graph7

##GRAPH2

Health and Wellness

graph2

##GRAPH3

Wellbeing

graph1

##GRAPH4

Electricty Quality

graph31
SPI
library(spiR)
sqs_spi_indicator()
## # A tibble: 67 x 7
##    indicator_name indicator_code indicator_defin… indicator_source
##    <chr>          <chr>          <chr>            <chr>           
##  1 Social Progre… SPI            <NA>             <NA>            
##  2 Basic Human N… BHN            <NA>             <NA>            
##  3 Foundations o… FOW            <NA>             <NA>            
##  4 Opportunity    OPP            <NA>             <NA>            
##  5 Nutrition and… NBM            <NA>             <NA>            
##  6 Water and San… WSA            <NA>             <NA>            
##  7 Shelter        SHE            <NA>             <NA>            
##  8 Personal Safe… PSA            <NA>             <NA>            
##  9 Access to Bas… ABK            <NA>             <NA>            
## 10 Access to Inf… AIC            <NA>             <NA>            
## # … with 57 more rows, and 3 more variables: indicator_source_link <chr>,
## #   indicator_dimension <chr>, indicator_component <chr>
library(spiR)

SPI <- sqs_spi_data(country = c("AUS", "DNK", "NOR", "NLD", "DEU"), 
                       year = c("2014","2015","2016", "2017", "2018", "2019"), 
                       indicators = "SPI")

SPI
##    countryName var_code var_year var_indicator value
## 1    Australia      AUS     2014           SPI 87.07
## 2      Denmark      DNK     2014           SPI 88.68
## 3      Germany      DEU     2014           SPI 87.89
## 4  Netherlands      NLD     2014           SPI 88.21
## 5       Norway      NOR     2014           SPI 88.57
## 6    Australia      AUS     2015           SPI 87.41
## 7      Denmark      DNK     2015           SPI 88.85
## 8      Germany      DEU     2015           SPI 88.06
## 9  Netherlands      NLD     2015           SPI 88.38
## 10      Norway      NOR     2015           SPI 89.17
## 11   Australia      AUS     2016           SPI 87.55
## 12     Denmark      DNK     2016           SPI 88.92
## 13     Germany      DEU     2016           SPI 88.41
## 14 Netherlands      NLD     2016           SPI 88.32
## 15      Norway      NOR     2016           SPI 89.33
## 16   Australia      AUS     2017           SPI 87.83
## 17     Denmark      DNK     2017           SPI 89.74
## 18     Germany      DEU     2017           SPI 88.49
## 19 Netherlands      NLD     2017           SPI 88.29
## 20      Norway      NOR     2017           SPI 89.83
## 21   Australia      AUS     2018           SPI 88.12
## 22     Denmark      DNK     2018           SPI 89.55
## 23     Germany      DEU     2018           SPI 88.54
## 24 Netherlands      NLD     2018           SPI  88.4
## 25      Norway      NOR     2018           SPI 90.01
## 26   Australia      AUS     2019           SPI 88.02
## 27     Denmark      DNK     2019           SPI 90.09
## 28     Germany      DEU     2019           SPI 88.84
## 29 Netherlands      NLD     2019           SPI 88.31
## 30      Norway      NOR     2019           SPI 90.95
DynagraphTB
DynagraphEF
DynagraphRK